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- ItemCongruence Couple Therapy for alcohol use and gambling disorders with comorbidities (part I): outcomes from a randomized controlled trial(Wiley, 2022) Lee, Bonnie K.; Ofori Dei, Samuel M.; Brown, Matthew M. R.; Awosoga, Olu A.; Shi, Yanjun; Greenshaw, Andrew J.A nonblinded randomized trial was conducted at two Canadian provincial outpatient addiction clinics that tested the effectiveness of a systemic congruence couple therapy (CCT) versus individual-based treatment-as-usual (TAU) on nine clinical outcomes: (1) primary outcomes—alcohol use and gambling, psychiatric symptoms, and couple adjustment; (2) secondary outcomes—emotion regulation, substance use, depression, post-traumatic stress symptoms, and life stress. Data of primary clients and partners (N = 46) were analyzed longitudinally across baseline, posttreatment (5 months), and follow-up (8 months). Alcohol use disorder (95%) and gambling disorder (5%) were in the severe range at baseline, and co-addiction was 27%. Psychiatric comorbidity was 100%, and 18% of couples were jointly addicted. Between-group comparison favored CCT in primary outcomes with medium-to-large effect sizes (Cohen's h = 0.74–1.44). Secondary outcomes were also significantly stronger for CCT (Cohen's h = 0.27–1.53). Within-group, for all primary outcomes, a significant proportion of symptomatic CCT clients and partners improved, converging with ANOVA results of large effect sizes (0.14–0.29). All secondary outcomes improved significantly in CCT with large effect sizes (0.14–0.50). TAU showed significant within-group improvement in alcohol use, other substance use, and life stress with large effect sizes (0.16–0.40). Primary clients and partners made largely equivalent improvement within CCT and within TAU. Results were triangulated with clients' satisfaction ratings and counselors' reports. Overall, significant within-group effects were detected for CCT both clinically and statistically and between-group difference favored CCT. Future trials are required to validate these promising findings.
- ItemHealth and work-related quality of life, wellbeing, and quality of clinical care: a multicentre cross-sectional survey of health care workers in south-western Nigeria(University of Lethbridge, 2022) Awosoga, Olu A.; Odole, Adesola; Odunaiya, Nse; Mbada, Chidozie; Oyewole, Olufemi; Ogunlana, Michael; Onyeso, Ogochukwu; Orimojunje, Ayomikun; Adegoke, Mercy; Sanuade, Comfort; Odole, Moyosooreoluwa; Odole, Iyanuoluwa
- ItemInvestigating academic dishonesty in post-secondary institutions in Canada: a case study of the University of Lethbridge before the COVID-19 pandemic(University of Lethbridge, 2021) Awosoga, Olu A.; Meadows, Jeff; Nord, Christina; Varsanyi, Stephanie E.; Barley, Randall
- ItemCaring for paid professional caregivers: investigating the health status of long-term care and assisted living facilities workers in Alberta(University of Lethbridge, 2020) Awosoga, Olu A.; Doan, Jon B.; Steinke, Claudia; Sajobi, Tolulope T.; Murphy, Sheli; Baerg, Scott; Bolarinwa, Remi; Nord, Christina; Varsanyi, Stephanie E.; Dosu, Benjamin; Lucchesi, AnnitaThis is a report on the health status of paid professional caregivers in long-term care (LTC) and Assisted Living (AL) Facilities that was carried out in Alberta Province between June 2017 and October 2019.
- ItemA comparison of meta-analytic methods for synthesizing evidence from explanatory and pragmatic trials(BioMed Central, 2018) Sajobi, Tolulope T.; Li, Guowei; Awosoga, Olu A.; Wang, Meng; Menon, Bijoy K.; Hill, Michael D.; Thabane, LehanaBackground: The pragmatic–explanatory continuum indicator summary version 2 (PRECIS-2) tool has recently been developed to classify randomized clinical trials (RCTs) as pragmatic or explanatory based on their design characteristics. Given that treatment effects in explanatory trials may be greater than those obtained in pragmatic trials, conventional meta-analytic approaches may not accurately account for the heterogeneity among the studies and may result in biased treatment effect estimates. This study investigates if the incorporation of PRECIS-2 classification of published trials can improve the estimation of overall intervention effects in meta-analysis. Methods: Using data from 31 published trials of intervention aimed at reducing obesity in children, we evaluated the utility of incorporating PRECIS-2 ratings of published trials into meta-analysis of intervention effects in clinical trials. Specifically, we compared random-effects meta-analysis, stratified meta-analysis, random-effects meta-regression, and mixture random-effects meta-regression methods for estimating overall pooled intervention effects. Results: Our analyses revealed that mixture meta-regression models that incorporate PRECIS-2 classification as covariate resulted in a larger pooled effect size (ES) estimate (ES=−1.01, 95%CI=[−1.52, −0.43]) than conventional random-effects meta-analysis (ES=−0.15, 95%CI=[−0.23, −0.08]). Conclusions: In addition to the original intent of PRECIS-2 tool of aiding researchers in their choice of trial design, PRECIS2 tool is useful for explaining between study variations in systematic review and meta-analysis of published trials. We recommend that researchers adopt mixture meta-regression methods when synthesizing evidence from explanatory and pragmatic trials.
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